Jiwoong Park, Chul Kim, Abraham Akinin, S. Ha, G. Cauwenberghs, P. Mercier
{"title":"毫米级全片神经接口无线供电","authors":"Jiwoong Park, Chul Kim, Abraham Akinin, S. Ha, G. Cauwenberghs, P. Mercier","doi":"10.1109/BIOCAS.2017.8325186","DOIUrl":null,"url":null,"abstract":"This paper presents guidelines for the design and optimization of on-chip coils used for wirelessly-powered mm-scale neural implants. Since available real estate is limited, on-chip coil design involves managing difficult trade-offs between the number of turns, trace width and spacing, proximity to other active circuits and metalization, quality factor, matching network performance/size, and load impedance conditions, all towards achieving high power transfer efficiency. To illustrate the design optimization procedure, a 3 × 3 mm2 on-chip coil is designed, and measurement results reveal a 3.82 % power transfer efficiency for a 1.6 kΩ load that mimics a 100 μW neural interface.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Wireless powering of mm-scale fully-on-chip neural interfaces\",\"authors\":\"Jiwoong Park, Chul Kim, Abraham Akinin, S. Ha, G. Cauwenberghs, P. Mercier\",\"doi\":\"10.1109/BIOCAS.2017.8325186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents guidelines for the design and optimization of on-chip coils used for wirelessly-powered mm-scale neural implants. Since available real estate is limited, on-chip coil design involves managing difficult trade-offs between the number of turns, trace width and spacing, proximity to other active circuits and metalization, quality factor, matching network performance/size, and load impedance conditions, all towards achieving high power transfer efficiency. To illustrate the design optimization procedure, a 3 × 3 mm2 on-chip coil is designed, and measurement results reveal a 3.82 % power transfer efficiency for a 1.6 kΩ load that mimics a 100 μW neural interface.\",\"PeriodicalId\":361477,\"journal\":{\"name\":\"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIOCAS.2017.8325186\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2017.8325186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wireless powering of mm-scale fully-on-chip neural interfaces
This paper presents guidelines for the design and optimization of on-chip coils used for wirelessly-powered mm-scale neural implants. Since available real estate is limited, on-chip coil design involves managing difficult trade-offs between the number of turns, trace width and spacing, proximity to other active circuits and metalization, quality factor, matching network performance/size, and load impedance conditions, all towards achieving high power transfer efficiency. To illustrate the design optimization procedure, a 3 × 3 mm2 on-chip coil is designed, and measurement results reveal a 3.82 % power transfer efficiency for a 1.6 kΩ load that mimics a 100 μW neural interface.